Found in Robotics News & Content, with a score of 2.49
February 22, 2019
Researchers at the University of Southern California Viterbi School of Engineering have developed 3D-printed rubber material that can repair itself, potentially increasing the longevity of items like tires, shoes, and other items that are frequently fractured or punctured, while decreasing manufacturing time. Assistant Professor Qiming Wang led the research team. The new material is manufactured with a 3D printing method that uses photopolymerization, a process that uses light to solidify a liquid resin. The self-healing aspect of the material was achieved by adding an oxidizer to the chemical group (thiols) used in the photopolymerization process, transforming them into disulfides. “When…
Found in Robotics News & Content, with a score of 1.99
April 18, 2023
Recording: May 3, 2023 at 2:00 EST
…Elazary has a master's in computer science from the University of Southern California with a specialty in artificial intelligence. Randy Ross Director of supply chain SICK Inc. Since 2008, Ross has directly led procurement, inventory management, distribution, and transportation at SICK. He has worked to drive top-line revenue and bottom-line cost improvements through optimized supply chain solutions at the company. Prior to SICK, Ross was general manager, MSP, at Logistics Unlimited, and director, supply chain, at Zomax. Moderator: Eugene Demaitre Editorial director Robotics 24/7, Peerless Media LLC Demaitre is editorial director of Robotics 24/7. Prior to joining Peerless Media, he…
Found in Robotics News & Content, with a score of 1.69
July 07, 2020
…Sealy, Ph.D., University of Nebraska-Lincoln, Lincoln, Nebraska Mihaela Vlasea, Ph.D., University of Waterloo, Waterloo, Ontario, Canada Qiming Wang, Ph.D., University of Southern California, Los Angeles Rui Zhou, Ph.D., Apple, Sunnyvale, California Yan Zhou, Ph.D., Houghton International, Valley Forge, Pennsylvania SME is currently seeking nominations for its 2021 Outstanding Young Manufacturing Engineer Award. Nominees must be 35 years or younger on Aug. 1 of the year of their nomination to be considered. More details and the nomination form are available here. Sources: Press materials received from the company and additional information gleaned from the company’s website.
Found in Robotics News & Content, with a score of 1.57
May 03, 2022
…simultaneous fragmentation and suctioning of stones with robotic assistance,” said Dr. Mihir Desai, professor of clinical urology at the University of Southern California. “With this platform, many urologists may be willing to expand their practice to include percutaneous access and PCNL procedures, thereby increasing patient access to more effective treatments closer to home,” Desai said.
Found in Robotics News & Content, with a score of 0.99
October 03, 2021
…Researchers at the Viterbi School of Engineering at the University of Southern California recently collaborated with Shanghai University of Finance and Engineering. They studied online shopping experiences and created a system that would enable JD.com to optimize robots within warehouses as they scurry about processing orders. The intent was to allow robots to move quickly without any collisions. The research team developed a mathematical method to optimize the combination of steps with a finite set of solutions. The system that the USC and Shanghai University team devised allows JD.com's robots to accurately fulfill orders for same-day delivery. It also allowed…
Found in Robotics News & Content, with a score of 0.96
August 25, 2023
…Granular and Paste-like Materials Project team: Siemens (principal investigator), University of Southern California Topic areas addressed: Safe and scalable manufacturing of energetics Description: This project seeks to automate the manipulation of granular and paste-like materials with robotics to augment human operators for common handling tasks such as scooping and pouring precise amounts without spillage, including those used in the manufacturing of highly reactive materials. The outputs of this project can also be applied for use in the pharmaceutical and chemical industries. The team will develop a robotic skill based on AI imitation and reinforcement learning to more safely scoop precise…
Found in Robotics News & Content, with a score of 0.92
February 05, 2023
…Form Automation Source: Boeing Principal Investigator: Boeing Project Team: University of Southern California and 3M Project Description: This project seeks to develop adaptive path planning to ensure affordability of Ceramic Matrix Composites (CMC) components for hypersonic platforms, or an object that exceeds 5 the speed-of-sound (Mach 5 or greater). The project also seeks to integrate improvements to automated pick, place, and form for processing CMC fabric prepregs using 3D vision-based sensors to reduce the cost and variability for high-rate production of CMC structures. Benefits of this approach include having a cost-competitive alternative to titanium, higher processing efficiency, and applications for…
Found in Robotics News & Content, with a score of 0.68
January 28, 2022
…Composites Pick, Place, and Form Automation Lead: Boeing Partners: University of Southern California, 3M Co. Description: To ensure the affordability of defense and commercial high-temperature structures, cost-effective means of fabricating high-quality, temperature-resistant material components at faster manufacturing rates is essential. The project team plans to develop automated trajectory planning for forming fabric-based prepregs to contours, automated in-process inspection for un-compacted areas and automated generation of rework tool paths, and self-corrective robotic recovery for prepreg backing film-removal failures. Safe Robotic Handling of Energetic Materials Lead: Rensselaer Polytechnic Institute Partners: Schlumberger, Interface Technologies, FANUC Description: The project team aims to develop fundamental…
Found in Robotics News & Content, with a score of 0.63
October 28, 2022
…San Francisco, the Keck School of Medicine at the University of Southern California, and Brigham and Women's Hospital have expressed interest in using the robot after clearance. Galen’s initial indications will focus on laryngological procedures. Future clearances will expand the scope of the platform into ENT (ear, nose, and throat), neurosurgical, spinal, and cardiothoracic procedures. “Physicians requested a platform with a great deal of stability with a low cost and that can be wheeled from one OR [operating room] to another,” said Saunders. “For the volume of ENT, hospitals can't justify the cost of a fixed, $2 million robot.” “As…
Found in Robotics News & Content, with a score of 0.54
July 13, 2021
…Systems Conference (RSS), researchers from NVIDIA Corp. and the University of Southern California presented DiSECt, which they described as the first differentiable simulator for cutting soft materials. The researchers said DiSECt can accurately predict the forces acting on a knife as it presses and slices through natural soft materials, such as fruits and vegetables. The work was nominated for a Best Paper Award at RSS 2021. The simulator augments the Finite Element Method (FEM) with a continuous contact model based on signed distance fields (SDF), as well as a continuous damage model that inserts springs on opposite sides of the…
Found in Robotics News & Content, with a score of 0.32
July 16, 2023
…opportunities. In 2021, a team of researchers from NVIDIA, University of Southern California, University of Washington, University of Toronto and Vector Institute, and University of Sydney won “Best Student Paper” at the Robotics: Science and Systems conference. The work, titled DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting, detailed a “differentiable simulator” for teaching robots to cut soft materials. Previously, robots trained in this area were unreliable. The DiSECt simulator can accurately predict the forces on a knife as it presses and slices through common biological materials. DiSECt relies on the finite element method, which is used for solving…
